Christophe Blefari

SEPTEMBER 28, 2023

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

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Cloud Storage Big Data Hadoop SQL 147

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

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Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

APRIL 23, 2024

Data handling became tedious only after huge amounts of it started to accumulate. For example, in 1880, the US Census Bureau needed to handle the 1880 Census data. They realized that compiling this data and converting it into information would take over 10 years without an efficient system.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

JULY 26, 2023

But what precisely is operating system virtualization? This blog will provide you all the information about the Operating System virtualization along with AWS Solution Architect syllabus. What is Operating System Virtualization? You would possibly think of virtualization in operating system as a form of mimicry or illusion.

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Systems Cloud Computing Utilities Cloud 52

Christophe Blefari

FEBRUARY 24, 2023

Data engineering team moving data manually ( credits ) Dear readers, I hope you had a great week. The current data state is heavily dependent on infrastructure, wether it's cloud, on-premise or semi-related we need to understand where the data lands and where the code runs. Is it Kafka? Often they are right.

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Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. The idea is to create a living reference about Data Engineering.

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Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

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Data Science Business Analyst ETL Method Data Architect 98

Data Engineering Weekly

DECEMBER 2, 2023

AWS S3 Express One Zone sparks some delight in the data infrastructure. link] Amazon S3 Express One Zone is a high-performance, single-availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications.

IT 85

IT BI AWS Kafka 85

Data Engineering Podcast

DECEMBER 31, 2018

Summary As more companies and organizations are working to gain a real-time view of their business, they are increasingly turning to stream processing technologies to fullfill that need. However, the storage requirements for continuous, unbounded streams of data are markedly different than that of batch oriented workloads.

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Lambda Architecture Process Data Process Kafka 100

Knowledge Hut

MARCH 27, 2024

On the other hand, data structures are like the tools that help organize and arrange data within a computer program. In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find.

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Database Relational Database Algorithm PostgreSQL 52

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds. In this model, the data is not 100% secure.

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Cloud Computing Data Science Cloud Amazon Web Services 98

Data Engineering Weekly

MARCH 24, 2024

link] Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview of the state of the data streaming landscape in 2024. As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Engineering at Meta

OCTOBER 31, 2023

Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing unused data types. SCARF scans production data systems to identify tables or assets that are unused and safely removes them. If any of the assets are not in use, SCARF initiates a process to safely remove them.

Data 98

Data Metadata Coding Relational Database 98

Monte Carlo

APRIL 12, 2022

Data teams love the idea of automating data engineering processes in principle. At the same time we’ve never worked at an organization and thought, “there are too many data engineers and not enough work.” In this spirit, we got together to brainstorm nine data engineering processes we believe are ripe for automation.

Data Engineering 52

Data Engineering Data Engineer Process Engineering 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

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Database SQL Process NoSQL 52

Snowflake

SEPTEMBER 25, 2023

To navigate today’s challenging economy, manufacturers must digitize their supply chain and manufacturing processes. Digital advancements such as smart manufacturing and automation through AI, machine learning (ML), robotics, and IoT require a connected value chain ecosystem with a secure, scalable, and flexible data platform.

Manufacturing 86

Manufacturing Cloud Electronics BI 86

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Hadoop Deep Learning Data Science Machine Learning 98

Cloudera

APRIL 22, 2022

Part of this emphasis extends to helping enterprises deal with their data and overall cloud connectivity as well as local networks. At the same time, operators are also becoming more data- and cloud-centric themselves. Networked data and cloud are not just “edge computing”. This poses both opportunities and challenges.

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Data Engineering Weekly

MARCH 8, 2023

The number of connections is an example of a more general problem known as real-time statistical analysis, which computes and maintains different statistics on the latest data points. Pathway is a Python framework for realtime data stream processing that handles updates for you. This portion of the data is called a window.

Process 52

Process Data Media Data Storage 52

Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. What is data pipeline observability?

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Data Pipeline Data Engineering Data Engineer Engineering 98

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Christophe Blefari

NOVEMBER 11, 2022

On a social note, today I've joined data-folks Mastodon server, you can follow me there. I'll speak about "How to build the data dream team" Let's jump onto the news. Ingredients of a Data Warehouse Going back to basics. Ian describes how Riot Games uses data and what machine learning means.

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BI Data Warehouse Data Database 130

DareData

JANUARY 30, 2023

Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

FEBRUARY 29, 2024

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Databand.ai

MAY 30, 2023

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context.

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Data Cleanse Datasets Data Governance Data Validation 85

Edureka

JUNE 13, 2024

Businesses are using data analytics more and more to promote growth and guide decision-making in today’s data-driven environment. Effective data modeling is a crucial part of this analytics approach, especially when using strong tools like Power BI. What is Data Modeling? Why Does Data Modeling Matter in Power BI?

BI 52

BI IT Data Business Analyst 52

Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Towards Data Science

DECEMBER 15, 2023

For a data scientist, there’s no such thing as too much data. Photo by Trnava University on Unsplash Data Science vs Security/IT: A Battle for the Ages Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. If you ask a data scientist “Can we solve this problem?”

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Machine Learning Data Science Data Security Data Storage 88